Sentiment Analysis
Automatically judging whether text is positive, negative or neutral. Used to read reviews and messages at a scale nobody could read by hand.
Related terms
Prompt Library
A saved set of prompts a team reuses so results stay consistent between people. The simplest way to stop everyone reinventing the same instructions badly.
MCP (Model Context Protocol)
An open standard for connecting AI assistants to outside tools and data in a consistent way. It matters to businesses because it is how an assistant might one day query your booking system directly.
Vector Search
Searching by meaning rather than by matching words. A page that never uses the phrase somebody typed can still be the best answer, and vector search is what finds it.
Answer Engine
An answer engine replies to a question with a written answer instead of a list of links. ChatGPT, Perplexity and Google’s AI Overviews are all answer engines. The old question was “do we rank?”; the new one is “are we the answer?”
Chunking
Splitting a long page into smaller passages so an AI can retrieve just the relevant part. Pages with clear headings chunk cleanly; a single unbroken wall of text does not.
Inference
The moment an AI actually answers, as opposed to when it was trained. Training happens once and costs a fortune; inference happens every time somebody asks, and is what you pay for per use.